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How to use split_single method in tox

Best Python code snippet using tox_python

segmenter_test.py

Source:segmenter_test.py

...81    def test_NON_UNIX_LINEBREAK_misses(self):82        for example in ('\n', ' ', '\t'):83            self.assertTrue(NON_UNIX_LINEBREAK.search(example) is None, repr(example))84    def test_simple_case(self):85        self.assertEqual(['This is a test.'], list(split_single("This is a test.")))86    def test_regex(self):87        self.assertSequenceEqual(SENTENCES, list(split_single(TEXT)))88    def test_names(self):89        sentences = ["Written by A. McArthur, K. Elvin, and D. Eden.",90                     "This is Mr. A. Starr over there.",91                     "B. Boyden is over there."]92        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))93    def test_alpha_items(self):94        sentences = ["This is figure A, B, and C.", "This is table A and B.", "That is item A, B."]95        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))96    def test_author_list(self):97        sentences = ["R. S. Kauffman, R. Ahmed, and B. N. Fields show stuff in their paper."]98        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))99    def test_long_bracket_abbervation(self):100        sentences = ["This is expected, on the basis of (Olmsted, M. C., C. F. Anderson, "101                     "and M. T. Record, Jr. 1989. Proc. Natl. Acad. Sci. USA. 100:100), "102                     "to decrease sharply."]103        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))104    def test_continuations(self):105        sentences = ["colonic colonization inhibits development of inflammatory lesions.",106                     "to investigate whether an inf. of the pancreas was the case...",107                     "though we hate to use capital lett. that usually separate sentences."]108        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))109    def test_inner_names(self):110        sentences = ["Bla bla [Sim et al. (1981) Biochem. J. 193, 129-141].",111                     "The adjusted (ml. min-1. 1.73 m-2) rate."]112        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))113    def test_species_names(self):114        sentences = ["Their presence was detected by transformation into S. lividans.",115                     "Three subjects diagnosed as having something."]116        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))117    def test_species_names_tough(self):118        sentences = ["The level of the genus Allomonas gen. nov. with so "119                     "far the only species A. enterica known."]120        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))121    def test_multiline(self):122        text = "This is a\nmultiline sentence. And this is Mr.\nAbbrevation."123        ml_sentences = ["This is a\nmultiline sentence.", "And this is Mr.\nAbbrevation."]124        self.assertSequenceEqual(ml_sentences, list(split_multi(text)))125    def test_parenthesis(self):126        sentences = ["Nested ((Parenthesis. (With words right (inside))) (More stuff. "127                     "Uff, this is it!))", "In the Big City."]128        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))129    def test_parenthesis_with_sentences(self):130        sentences = ["The segmenter segments on single lines or to consecutive lines.",131                     "(If you want to extract sentences that cross newlines, remove those line-breaks.",132                     "Segtok assumes your content has some minimal semantical meaning.)",133                     "It gracefully handles this and similar issues."]134        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))135    def test_unclosed_brackets(self):136        sentences = ["The medial preoptic area (MPOA), and 2) did not decrease Fos-lir.",137                     "However, olfactory desensitizations did decrease Fos-lir."]138        self.assertSequenceEqual(sentences, list(split_single(' '.join(sentences))))139    def test_linebreak(self):140        text = "This is a\nmultiline sentence."141        self.assertSequenceEqual(text.split('\n'), list(split_single(text)))142    def test_newline(self):143        self.assertSequenceEqual(SENTENCES, list(split_newline(OSPL)))144    def test_rewrite(self):145        # noinspection PyTypeChecker146        a_text = OSPL.replace('\n', '\u2028').replace(' ', '\n')147        result = rewrite_line_separators(a_text, MAY_CROSS_ONE_LINE)...

reformatObj.py

Source:reformatObj.py

1vertices = []2normals = []3textures = []4indices = []5with open('SkyBoxBlue.obj') as fp:6	for line in fp:7		if(line[0] == 'v'):8			if(line[1] == 'n'):9				normals.append(line)10			elif(line[1] == 't'):11				textures.append(line)12			else:13				vertices.append(line)14		elif(line[0] == 'f'):15			indices.append(line)16	17num_vertices = 1;18# read each indices and add to new.obj19f = open("new.obj", 'w')20for line in indices:21	split_line = line.split()22	temp = split_line[1]23	split_single = temp.split('/')24	f.write(vertices[int(split_single[0])-1])25	if(split_single[1] != ''):26		f.write(textures[int(split_single[1])-1])27	f.write(normals[int(split_single[2])-1])28	temp = split_line[2]29	split_single = temp.split('/')30	f.write(vertices[int(split_single[0])-1])31	if(split_single[1] != ''):32		f.write(textures[int(split_single[1])-1])33	f.write(normals[int(split_single[2])-1])34	temp = split_line[3]35	split_single = temp.split('/')36	f.write(vertices[int(split_single[0])-1])37	if(split_single[1] != ''):38		f.write(textures[int(split_single[1])-1])39	f.write(normals[int(split_single[2])-1])40	41	write_string = 'f ' + str(num_vertices) + '/' + str(num_vertices) + '/' + str(num_vertices) + ' ' +  str(num_vertices+1) + '/' + str(num_vertices+1) + '/' + str(num_vertices+1) + ' ' + str(num_vertices+2) + '/' + str(num_vertices+2) + '/' + str(num_vertices+2) + '\n'42	f.write(write_string) 43	num_vertices += 344		...

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